SaaS SEO with Semantics - Publication Frequency and Positive Ranking State

hello everyone welcome to series episode in this case they will focus on Minister brass.com as SAS website and we actually triple the traffic since we published the cas for the last time and we will try to explain the difference of this website compared to the strike that money if you check the blue head playlist in my channel and you watch all these videos you will see the connections of these videos to each other will at here is used in the context of the opportunist SEO and every suggestion that we give is unique to do only

that specific video so we don't repeat the obvious or early settings and we had here means that introduction to the advanc SEO with bite size or bit size information chance so Minister brass.com actually keeps increasing its uh rankings and despite nothing has been has been published further or nothing has been updated further either so what's the difference between this specific website and strike that money in this case because if you remember I I have published strike that money it didn't lose the rankings but it is a little bit more stale like natural it doesn't uh

continue to grow its traffic in the positive ranking State it's in a natural ranking State and the strike that money we have seen that actually their Coss STS have been dropped from 40,000 at time 40,000 times a day to the 2,000 times a day but in this project we even don't have enough level of L side or good amount of CW requests at all and half of the requests are not going include even HTML documents but still this project actually continues to increases rankings the main difference here is actually the competitors and their staleness as

well St that money is also a sauce but it is directly from Finance Niche this website is from church CMS which is a way smaller index industry and the amount of competitors are far less and most of these compet even don't have proper accuracy unique information or topical coverage in enough level so if there is no other source that have the freshness signal if there is no other source that actually cover these Concepts connect them with high level of accuracy as you do in this case even if you don't publish anything you will be safe

for a long time sometimes people think like okay I didn't publish my website for three years it keeps ranking why not the other website ranks in the same way because they are from different industry and their computors are different algorithms also we'll be looking for different type of combinations of metrics to decide so in this project even 1,000 times of Craw hit is actually good enough to be prioritized compared to the your competitors and this project for a while or for a longer time it will also keep increasing its rankings another question to ask here

is that so it came to the this level with just initial 20 25 articles and in this case it came to the here but why it has taken like probably like 10 months and in this case we should understand that we actually started to publish in this area you should understand the concept of historical data historical data means any type of Click Mouse over querly per second or any type of information that the search changer can use on the ser and Beyond the ser and if you're not using backlinks or active linking campaigns in this

case you will need to be having the historical data comes from from Impressions and also the clicks whenever they actually increase their confidence levels they will first take you into the postive ranking State you will be tested One More Time by being replaced and you will be going actually another level another level of ranking if you look at here this is also natural ranking State once you pass enough level of threshold one more time it goes higher and again there is another Natural Area if you know how to read these Graphics together with the Google

updates can understand the ranking algorithms in a better way and earlier I have written a case po a case about how search engine determin on ranking from horis I suggest you to check it in this website the topical map also has been created in a way that we will be performing a kinds of side migration from these sub Brands because the topical map here has been adjusted according to the multiple brand merge and if you are redirecting multiple different type of Brands to the kinds of main website you you should also be opening these type

of landing pages for these sub Brands and these sub pages also should be lanking ranking for these sub brand names if your targeted domain and also the minor brand domain if they're ranking at the same time for the same query for a long time search just starts to associate them to each other and it will help you to actually perform a faster and more permanent ranking signal transition if you check my LinkedIn and the LinkedIn newsl you will understand what I mean with the ranking signal transition you can do the direction but it doesn't mean

that just based on domain migration your ranting power or juice or the signal also will be transferred to the next domain so these are created in Integra topical map according to that also if we have any ranking properly ranking highly cited web pages from these other brand websites we also prepared some sections in a topical map that once we do the migration basically the old pages from these domains will be migrated and revived in this domain and we will be able to also close the topical gap between the pages of clover and pages of let's

say e360 given this way and you do multi side migration into a single place with a kind of amplification or domain amplification it will be helping you to actually get the most possible historical data and ranking signal another part here is that and these are the aift data and this is the r basally if you want to see that another part here is that in terms of the topical map here earlier I actually shown a few meths especially of course in the topical Authority course but if you want to create a topical map properly sometimes

people use only lexical relations sometimes they use only let's say only the query semantics slightly but in some ways you can always use let me just come here you can ALS use actually conceptual connections I will be showing you some patterns and doing a way of doing that what you see here is technically not a topical map and I wouldn't call it even a r topical map in this case if you don't know the difference between R and they process topical map check the course in this case you what you do is just writing some

conceptual connections and a flow for instance here we have the website is mainly about church CMS and it forces the website to be relevant to also Church management of course Community Management CH Community donation and church donation so these are actually your Core Concepts as much as possible but to be able to increase your relevance and chance of ranking Q by increasing your historical data you will need to also focus on church church types and also one more time website CMS and website design as well if you are able to focus on website design and

website CMS it will be easier for you to rank also for church CMS the main problem here is that if you want to create a topic something like the Church website design there is no search demand for it you will be creating a page just as a burden here you won't be able to get historical data the search engine also won't be seeing any query that is relevant to that this one you should always organize your pages as one micro context and one micro context in your micro context you can take take the Church website

design to your micro context you can take the church CMS and these two can also link here to transfer of historical data and ranking signals in this case it also brings us to subjects like storage management because Church storage is related to also church donation then we have let's say ex Church committee which means according to the type of the church the community also becomes more uh let's say Diversified and variated so these conceptual connections actually have been explained by Adam wman in Google many times he also uses this type of error he also distributes

relations between them like weak relation medium relation strong relation I will show you a set of case a set of patterns here so if this if someone from Google takes so many patterns that are relevant to each other it means they are using that and these things are actually kept let's say uh let's let's say they are all connected and SL by being cited by other inventors in Google so this was one of the first examples that's why it mentions the advertising here if you look at the next one advertisement is not there but some

of the diagrams are same that's why when you read one of the patterns from one inventor you basically read 80% of the rest or the next one editing a network of interconnected Concepts here it explains actually how these Concepts actually can be edited or how they can actually change their relations in this one they focus on meaning of a knowledge item so this brings us to also document based information and it tries to segment a document to the different sections than locate a knowledge item and they try to understand meaning of that item here there

are a kinds of let's say meaning processor and knowledge item processor if you look at the next one metod system for compressing indes this one is about actually using conceptual connections to in decrease the size of an index as I always say it's about cost of retrieval the search engine uses mainly the semantics for decreasing the cost of ranking and cost of retrieval if you're able to use these Connections in a higher level whenever the search engine realizes that your website is actually properly adjusted for their own understanding then you will be getting actually higher

attention from the search engine that's why the strike that money and scroll stats are uniquely important there when it comes to do here again cost of compression is also important benefit of compression and I always say the quality of your website can't be R can't be higher than cost of ranking your website so again there is a comparison here cost and benefit ratio they also do the same for your website and here meaning Base information organization and threat R and here you see sport is connected skying and then ski athletic equipment and equipment and we

have USA as a state inside the California and it creat this specific diagram in this area and there are relation types part of kind of a lateral bondes relation which means double relation and then we go from Sports to the skiing from skiing to the skiing in California or Alaska Washington they keep multiplying this uh P or conceptual patterns in this case and they try to understand which one of which of these actually are really important uh as much as possible so if you are able to understand this conceptual connections you will be able to

use these connections for shaping your website as much as possible here to we have system for text segmentation this is about actually mainly okay this actually mainly about understanding which section of the text is mainly about which another section and here they're trying to understand actually where the specific text component is ending because this about locating that knowledge item on your page this one is about extraction rules and here you will see that actually an example like spe specific vers or concepts appearing in a document sentences that mention certain Concepts or that are conceptually related

to a concept combine multiple requirements together in order to look things that are more complex for example to find an extract any sentence in a document that contains mention of both nzda and layoff according to these cooccurrences or conceptual connections they create certain type of extraction rules and locate the knowledge item give a meaning to the knowledge item and then they try to connect that specific concept to the next concept according to the strength of the connection they give an overall give give an overall relevance to the specific subject and the document pair so this

is what also we do in this section too whenever your website becomes more relevant to the church management and Community Management and again Community grow in the context of again one more time Church growth and church CMS you basically increase your chance of ranking if any other site has the same level of comprehensiveness and depth of coverage then you will keep increasing your rankings it also brings the question of what will happen if this project actually wouldn't stop again it will be getting way much more clicks it's also a question from the business model size

side too is it still necessary or not I would like to show you a tweet that I have put here earlier because it is about these basically you have a business model you have a topical map and your Source context will need to bring your business model closer to your topical map and whenever you are able to create an intersecting area with them you basically Define your Source context why you are covering it and in what way you are making money from that we don't chase traffic just for ranking purposes in this case so one

more time due to the migraine I will need to end the video earlier if you would like to know further join to the new St join the course and you will definitely be welcomed in our public or the private ex Community see you in the next one